Mass lesions are one of the breast cancer tumors. Mammogram images first screening tool to detect tumors in women breast, but due radiologist fatigue, number false positive (FP) and negative (FN) rates increased. The main objective this paper is develop an intelligent computer aided diagnosis (CAD) system that can accurately mass digitized mammogram images. proposed method has three stages. sta...

Lesion detection is a fundamental problem in the computer-aided diagnosis scheme for mammography. The advance of deep learning techniques have made remarkable progress this task, provided that training data are large and sufficiently diverse terms image style quality. In particular, diversity may be majorly attributed to vendor factor. However, collection mammograms from vendors as many possibl...

Skin lesions affect millions of people worldwide. They can be easily recognized based on their typically abnormal texture and color but are difficult to diagnose due similar symptoms among certain types lesions. The motivation for this study is collate analyze machine learning (ML) applications in skin lesion research, with the goal encouraging development automated systems disease diagnosis. T...